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林业资源管理 ›› 2011, Vol. 0 ›› Issue (6): 59-64.

• 科学技术 • 上一篇    下一篇

Voronoi图方法确定云冷杉林最近邻木的适用性研究

郝月兰, 张会儒, 唐守正   

  1. 中国林业科学研究院资源信息研究所,北京 100091
  • 收稿日期:2011-10-10 修回日期:2011-11-01 出版日期:2011-12-28 发布日期:2020-12-18
  • 通讯作者: 张会儒(1964-),男,研究员,博导,主要从事森林资源经营管理研究。Email:huiru@caf.ac.cn
  • 作者简介:郝月兰(1986-),女,河北衡水人,在读硕士,研究方向为森林资源管理与决策。Email:haoyuelan@163.com
  • 基金资助:
    “948”引进项目“森林多目标经营规划决策支持技术引进”(2008-4-60);林业公益性行业专项“我国典型森林类型健康经营关键技术研究”(201004002)

Study on the Adaptability of Voronoi Diagram on Determiningthe Nearest Neighboring Trees of Natural Mixed Spruce-Fir Forests

HAO Yuelan, ZHANG Huiru, TANG Shouzheng   

  1. Institute of Forest Resources Information Techniques,CAF,Beijing 100091,China
  • Received:2011-10-10 Revised:2011-11-01 Online:2011-12-28 Published:2020-12-18

摘要: 以吉林省汪清林业局金沟岭林场天然云冷杉林标准地内147株树木为研究对象,选用最近邻木取4的传统方法和Voronoi图来确定每株树木的最近邻木株数和树号,对2种方法计算出的混交度和大小比数进行配对检验,并且对2种方法的适用性进行评价。结果表明:2种计算方法得出的结果具有较高的相关性和一致性,同为有效数据,但是传统方法计算出的混交度和大小比数要偏小;总体而言,天然云冷杉林具有较高的混交度、大小比数适中;相对于传统方法,利用Voronoi图来确定最近邻木时较为灵活。因此,在计算天然云冷杉林混交度和大小比数时,选用Voronoi图更为合理。

关键词: 混交度, 大小比数, Voronoi图

Abstract: Based on the 147 trees of natural mixed Spruce-fir forest sample plots which are located in Jingou Forestry Farm of Wangqing Forestry Bureau in Jilin province,this paper tested the outcomes of calculating the spatial structure indexes based on Voronoi diagram and the outcomes of traditional algorithms that the nearest neighboring trees are 4.The GEMINUS test shows that the outcomes have significantly correlation and agreement between the two when calculating mingling and neighborhood comparison,both are effective results.But the outcomes of traditional method are lower than the outcomes of the Voronoi diagram.Overall,the mingling is higher and the neighborhood comparison is moderate of the natural mixed Spruce-Fir forests.Compared with the traditional method,determining the nearest trees based on Voronoi diagram is a more flexible.Therefore,Voronoi diagram is a more logical choice.

Key words: mingling, neighborhood comparison, Voronoi diagram

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